Master’s in Digital Twins for Energy and Grids
Online master's programme of 1,900 hours in digital twins for energy and grids: DERMS, forecasting, optimisation and flexibility. 12 modules covering power system modelling, data and sensing, grid twin architecture, energy forecasting, operation and optimisation, asset twins, network planning, real-time simulation and cybersecurity, with IEC 61970 (CIM), IEC 61968 and IEC 61850, and an assigned technical tutor.
Master’s in Digital Twins for Energy and Grids — studying from Australia
Data, artificial intelligence and simulation are central to Australian industries including mining, banking, health, agriculture and government. Organisations use machine learning, digital twins and advanced analytics to improve productivity, asset performance and decision making. National science agency CSIRO, along with universities and a growing start-up ecosystem, drives research and applied innovation. Australia has also developed national AI ethics principles, making responsible design an important professional consideration. Engineers in this area typically work for technology firms, consultancies, research organisations and large enterprises.
Fees for Australia: A$11,000 (AUD), with instalments and employer sponsorship available.
Relevant bodies in Australia
Typical roles
Questions from Australia
Which Australian bodies recognise data and AI engineering skills?
Engineers Australia and the Australian Computer Society (ACS) are the main professional bodies, and the ACS runs a skills assessment for migration purposes. SEIUM's private qualifications are not accredited by either. Whether a private qualification is valued is decided by the employer or the relevant body.
What data and AI careers exist in Australia for this training?
Australia has demand for data scientists, AI engineers and simulation analysts across finance, health, mining, government and technology firms. Employers mainly assess your portfolio, technical skills and results. A SEIUM qualification may support your profile, but each employer decides its relevance.
Can I study this online from Australia while working?
Yes, the programmes are fully online and taught in English, and no student visa is needed to study from home. Specialist courses are 300 hours, postgraduate diplomas 800 and master's 1,900, with an assigned technical tutor and a final project. Fees can be paid in instalments, and employer sponsorship may be possible.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Model power networks and their components accurately.
Integrate sensor, smart meter and SCADA data into a digital twin.
Design interoperable twin architectures based on CIM.
Forecast demand and renewable generation using probabilistic methods.
Optimise network operation and flexibility.
Plan network expansion in the face of electrification.
Ensure the cybersecurity and resilience of the power system.
Who it's for
- Energy digital twin engineers building live models of networks and assets.
- Network planning engineers assessing hosting capacity and electrification scenarios.
- System operation analysts working with state estimation and congestion management.
- Smart grid engineers deploying sensing, PMUs and IEC 61850 substations.
- Energy forecasting specialists covering demand, wind and solar.
- Energy digitalisation consultants advising utilities and DSOs.
- Engineering or science graduates looking to enter electricity distribution.
What you'll work with
- IEC 61970 (Common Information Model for energy management systems)
- IEC 61968 (application integration for distribution management)
- IEC 61850 (communication networks and systems for power utility automation)
- IEC 62351 (security for power system communications)
- IEC 62443 (security for industrial automation and control systems)
- Regulation (EU) 2019/943 (internal market for electricity)
- UNE-EN 50160 (voltage characteristics of public distribution networks)
- Directive (EU) 2022/2555 (NIS2 — cybersecurity across the Union)
- DIgSILENT PowerFactory
- PSS/E
- pandapower
- OpenDSS
- OPAL-RT
12 modules
1.1Structure of the power system1.2Generation, transmission and distribution1.3Integration of variable renewables1.4Distributed energy resources1.5System operation and balancing services1.6Iberian electricity markets1.7Grid digitalisation1.8Digital twins in energy: cases1.9Flexibility challenges1.10Case study: diagnosis of a distribution network
2.1Line, transformer and load models2.2Newton-Raphson load flow2.3Unbalanced low-voltage networks2.4Short circuits and protection2.5Transient and voltage stability2.6Inverter modelling2.7IEC 61970 CIM model2.8PSS/E and DIgSILENT tools2.9Validating network models2.10Lab: load flow with pandapower
3.1SCADA and EMS3.2Smart meters3.3Phasor measurement units (PMUs)3.4IEC 61850 in substations3.5Weather and generation data3.6Data quality and synchronisation3.7Asset telemetry3.8Real-time ingestion3.9Cybersecurity of grid data3.10Practical exercise: integrating smart meter data
4.1Components and layers of the twin4.2Physics-based and data-driven models4.3State estimation4.4Synchronisation with the real grid4.5Platforms and cloud4.6CIM and CGMES interoperability4.7Geospatial visualisation4.8Scalability and performance4.9Life-cycle management4.10Lab: twin of a medium-voltage feeder
5.1Demand forecasting5.2Wind generation forecasting5.3Solar PV forecasting5.4Probabilistic models5.5Deep learning in forecasting5.6Node-level forecasting5.7Extreme events5.8Error metrics5.9Integration into operations5.10Practical exercise: solar forecasting with satellite data
6.1Optimal power flow6.2Voltage management6.3Network reconfiguration6.4Congestion management6.5Flexibility control6.6Storage dispatch6.7Microgrids and island mode6.8Local flexibility services6.9Real-time optimisation6.10Case study: congestion management with flexibility
7.1Power transformers7.2Wind turbines7.3Solar PV plants7.4Stationary batteries7.5Cables and overhead lines7.6Condition monitoring7.7Ageing and service life7.8Predictive maintenance7.9Asset health indicators7.10Lab: thermal twin of a transformer
8.1Expansion planning8.2Electrification scenarios8.3Integrating EV charging8.4Heat pumps and future demand8.5Hosting capacity analysis8.6Connection studies8.7Probabilistic planning8.8Investment versus flexibility8.9Regulated investment plans8.10Practical exercise: hosting capacity of a rural network
9.1RTDS and OPAL-RT simulators9.2Hardware-in-the-loop testing of protection9.3Testing inverter controllers9.4Grid-communications co-simulation9.5Power electronics simulation9.6Validating control schemes9.7Interoperability testing9.8Reference laboratories9.9Managing test benches9.10Workshop: HiL test of a microgrid controller
10.1Threats to power infrastructure10.2IEC 62351 for communications10.3IEC 62443 in control systems10.4NIS2 Directive in energy10.5Network code on cybersecurity10.6Resilience to climate events10.7Service restoration10.8Twins for emergency drills10.9Incident management10.10Case study: cyber-incident drill in a control centre
11.1Regulatory framework for networks in Spain11.2Distribution remuneration11.3Energy communities11.4Aggregators and demand response11.5Collective self-consumption11.6European network codes11.7Energy data and access11.8Funding digitalisation11.9Benchmark European cases11.10Practical exercise: business case for a grid twin
12.1Selecting the network or asset12.2Data collection12.3Physical model and validation12.4Twin architecture12.5Forecasting and state estimation12.6Operation or optimisation cases12.7Technical and economic evaluation12.8Implementation roadmap12.9Written thesis report12.10Master's Thesis: defence before a panel
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so the programme fits around your job.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is DIgSILENT PowerFactory, PSS/E, pandapower, OpenDSS and OPAL-RT, in free, academic or evaluation versions. Testing is studied through real procedures: validating network models with measurement data, hardware-in-the-loop testing and simulating electrification scenarios. Assessment is continuous for each module, plus the final Master's Thesis.
Standards covered: IEC 61970 (CIM), IEC 61968, IEC 61850, IEC 62351, IEC 62443, Regulation (EU) 2019/943 (internal electricity market), UNE-EN 50160, Directive (EU) 2022/2555 (NIS2).
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- Internet connection and a computer capable of running the programme software.
- English sufficient to read technical standards.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with DIgSILENT PowerFactory, PSS/E, pandapower, OpenDSS and OPAL-RT, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.
A university degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the software, and English sufficient to read technical standards.
Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.
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